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Controlling noise with self-organized resetting.

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Summary
This summary is machine-generated.

Biological systems use self-organized resetting to manage inherent noise. This novel mechanism, emerging from interactions, constrains noise accumulation and optimizes function, with applications in nature and technology.

Keywords:
Biological physicsStatistical physics

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Area of Science:

  • Complex Systems
  • Statistical Physics
  • Biophysics

Background:

  • Biological systems with few components are prone to noise.
  • Existing noise constraint mechanisms include external forces, nonlinear interactions, and state resetting.
  • A new paradigm for noise constraint is needed.

Purpose of the Study:

  • To introduce and investigate self-organized resetting as a novel mechanism for noise constraint.
  • To explore the general properties of systems exhibiting self-organized resetting.
  • To demonstrate the applicability of self-organized resetting in natural and technological contexts.

Main Methods:

  • Studied general properties of self-organized resetting systems.
  • Used cooperative resetting of Brownian particles as a paradigmatic example.
  • Analyzed phase transitions and adaptive behaviors.

Main Results:

  • Demonstrated a delocalization phase transition, distinguishing constrained and unconstrained noise regimes.
  • Showed that self-organized resetting systems can adapt to external forces.
  • Illustrated optimization of search behavior for target value attainment.

Conclusions:

  • Self-organized resetting is a fourth paradigm for noise constraint, emerging from system interactions.
  • This mechanism offers adaptability and optimized search capabilities.
  • Applications span biological processes (fungal interactions) and technological systems (shared mobility).